Efficient Algorithms for Real-Time Semantic Segmantation in Augmented reality

Abstract

 Semantic segmentation has become a crucial component in various real-time applications, from autonomous driving to medical imaging. This paper provides an overview of semantic segmentation techniques, their implementation in real-time systems, and the challenges faced. We review recent advancements, evaluate the performance of different models, and discuss practical considerations for deploying these models in real-time environments.